iPhone 15 Plus
Geekbench AI Score
3582
Single Precision Score
20143
Half Precision Score
22058
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 10:10 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone 15 Plus |
| Model ID | iPhone15,5 |
| Motherboard | D38AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1449
269.5 IPS |
|
|
Image Classification (HP)
|
100% |
10434
1.94 KIPS |
|
|
Image Classification (Q)
|
97% |
12576
2.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1474
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
11778
190.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
12790
207.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6938
8.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
100391
117.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
102127
119.7 IPS |
|
|
Object Detection (SP)
|
100% |
1609
127.6 IPS |
|
|
Object Detection (HP)
|
100% |
12902
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
14396
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3249
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
30740
365.3 IPS |
|
|
Face Detection (Q)
|
100% |
38298
455.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6331
48.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
76101
586.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
94711
740.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18648
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
175088
225.1 IPS |
|
|
Style Transfer (Q)
|
96% |
173143
223.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4217
155.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32276
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37290
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
2623
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
2255
3.01 KIPS |
|
|
Text Classification (Q)
|
93% |
2104
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3445
59.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2318
39.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2341
40.5 IPS |
